For those in the prevention field who need to use risk factors to identify
those at risk, mere statistical significance is not sufficient to establish
clinical or policy significance. For that purpose, some measure of "potenc
y" of risk factors is needed, that is, an effect size interpretable and mea
ningful in a clinical or policy context. The numerous possible candidate me
asures available often lead to contradictory conclusions. Which of the cand
idate measures is right or wrong for clinical and policy decision making de
pends on the fit between the trade-offs between false-positive and false-ne
gative decisions implicit in the definition of the measure land often unkno
wn to the user) and those related to a specific context of application.